Social Sciences Courses
Under the heading Social Sciences, Utrecht Summer School offers courses in the fields of Migration Studies, Communication, Psychology, Linguistics and Geosciences. Our offer also includes a large selection of Data Science courses, covering subjects such as Survey Research, Multilevel Analysis and Qualitative Statistics.
8 course(s) found
Introduction to R
This workshop will introduce participants to the R statistical programming language. R is a completely free and open-source programming language and environment for statistical analysis. In this workshop, participants will learn what R is and how it differs from other statistical software packages and programming languages. They will learn the basics of data I/O, manipulation, and visualization in R. Workshop participants will practice what they…
Regression in R
Linear regression is one of the most ubiquitous statistical methods. Most statistical techniques can be viewed as either special cases of linear regression (e.g., t-tests, ANOVA) or generalizations of linear regression (e.g., multilevel modeling, SEM, neural networks, GLM, survival analysis). In this workshop, participants will learn how to apply linear regression techniques in R. We will cover (multiple) linear regression, categorical predictor…
Missing Data in R
Missing data are ubiquitous in nearly every data analytic enterprise. Simple ad-hoc techniques for dealing with missing values such as deleting incomplete cases or replacing missing values with the item mean can cause a host of (hidden) problems. In this workshop, we will discuss principled methods for treating missing data and how to apply these methods in R. We will cover some basic missing data theory and two principled methods for treating…
Data Science: Multiple Imputation in Practice (Hybrid)
Online course
This four-day hybrid course by the MICE developers teaches you the basics in solving your own missing data problems appropriately. Participants will learn how to form imputation models, how to combine data sets, how to model non-response, how to use diagnostics to inspect the imputed values, how to obtain valid inference on incomplete data and how to avoid many of the pitfalls associated with real-life missing data problems. While there will be…
Sense making of GPS Data in a GIS environment
This course focuses on the application of GIS Tools to analyse outdoor movements of people or animals. The objective is to provide students with an insight into the principles of sense making of GPS Data in a GIS environment. Collection of travel/movement data is nowadays made easy through the use of GPS-loggers and Smartphones. Students will learn how to collect, clean and enrich these datasets with GIS by combining locational data with…
Data Science: Network Science
How can networks help us understand and predict social systems? How to find important individuals and communities? How to predict unobserved connections between genes? How to learn the dependencies between interrelated entities? How can we stop disease or information spreading in networks? In this course, we provide participants with the conceptual and practical skills necessary to use network science tools to answer social, economic and…
Global Health Ethics & Equity
This summer course focuses on urgent topics in global health ethics and equity. With an enthusiastic team of experts from all over the world, the current major challenges to health equity in the world as well as potential solutions are discussed.
Data Science: Text Mining with R
Applications of text mining are everywhere: social media, web search, advertising, emails, customer service, healthcare, marketing, etc. In this course, students will learn how to apply text mining methods on text data and analyse them in a pipeline with statistical learning algorithms. The course has a strongly practical hands-on focus, and students will gain experience in using and interpreting text mining on data examples from humanities,…